Fatty Liver Diagnosis Using Deep Learning in Ultrasound Image

Chun Hsien Wu, Che Lun Hung, Teng Yu Lee, Chun Ying Wu, William Cheng Chung Chu

研究成果: Conference contribution同行評審

摘要

Liver cancer is mainly caused by hepatitis B and C virus infection. In recent years, the prevalence of hepatitis B and C has been greatly reduced. With poor lifestyle and eating habits, the prevalence of fatty liver disease has increased. Fatty liver disease perhaps gradually replaces viral hepatitis as the leading cause of liver cancer. Ultrasound images are usually the primary checkpoint for the clinical examination of the fatty liver. This study applied a deep learning image segmentation model and image texture feature analysis. First, texture features were extracted from ultrasound images, and then model training was performed on texture features to achieve the clinical objective diagnosis. The US images used in this study were collected from the public medical center US machine. Ultrasound images and FibroScan of liver fibrosis scanner were collected from 235 patients. According to the classification and diagnosis of the severity of fatty liver, this study is divided into two parts. First, the ultrasound image data of patients is applied to image cutting model training and texture feature extraction. Second, the value of the texture feature is compared with the results of liver tissue pathology CAP corresponding to the training and verification of the fatty liver severity classification model. The experimental results show that the proposed model can predict fatty liver disease on a specific instrument and can achieve an area under the curve above 0.8.

原文English
主出版物標題Proceedings - 2022 IEEE International Conference on Digital Health, ICDH 2022
編輯Sheikh Iqbal Ahamed, Claudio Augistino Ardagna, Hongyi Bian, Mario Bochicchio, Carl K. Chang, Rong N. Chang, Ernesto Damiani, Lin Liu, Misha Pavel, Corrado Priami, Hossain Shahriar, Robert Ward, Fatos Xhafa, Jia Zhang, Farhana Zulkernine
發行者Institute of Electrical and Electronics Engineers Inc.
頁面185-192
頁數8
ISBN(電子)9781665481496
DOIs
出版狀態Published - 2022
事件2022 IEEE International Conference on Digital Health, ICDH 2022 - Barcelona, Spain
持續時間: 10 7月 202216 7月 2022

出版系列

名字Proceedings - 2022 IEEE International Conference on Digital Health, ICDH 2022

Conference

Conference2022 IEEE International Conference on Digital Health, ICDH 2022
國家/地區Spain
城市Barcelona
期間10/07/2216/07/22

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